Evidence map›Paper›PMID 38437603›Full record

ArticleHealth affairs (Project Hope)2024

Effects Of Medicaid Expansions On Coverage, Prenatal Care, And Health Among American Indian/Alaska Native Women.

Kate W Strully, Pinka Chatterji, Han Liu, Soojin Han, Lawrence Schell

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kate W StrullyKate W. Strully, State University of New York at Albany, Albany, New York.
Pinka ChatterjiPinka Chatterji (pchatterji@albany.edu), State University of New York at Albany.
Han LiuHan Liu, State University of New York at Albany.
Soojin HanSoojin Han, State University of New York at Albany.
Lawrence SchellLawrence Schell, State University of New York at Albany.

Funding

Effects of Medicaid expansions on infant health among Native AmericansR03HD104920 · NICHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI CHATTERJI, PINKA, STRULLY, KATE W · 2021 to 2022
$155k
NICHD NIH HHS R03 HD104920
6 · The paper itself

Abstract

American Indian/Alaska Native (AI/AN) women experience distinct political and health care environments and possess unique health risks and resources. We tested whether state Medicaid expansions under the Affordable Care Act were associated with health insurance, prenatal care, health conditions, and birth outcomes among AI/AN women. Using data from the 2010-19 American Community Survey and 2010-19 US birth certificates, we used a difference-in-differences study design to compare outcomes among AI/AN women before and after Medicaid expansions. Medicaid expansions increased the proportion of AI/AN women reporting health care coverage from both Medicaid and the Indian Health Service (IHS), with larger effects among women living in areas with relatively high percentages of reservation land. Consistent with prior research on the broader population of women, Medicaid expansions had no effects on first-trimester prenatal care usage or birthweight among AI/AN women. We found mixed evidence of increased rates of prepregnancy chronic conditions after the expansions. Our findings demonstrate the importance of Medicaid, the IHS, and tribal health systems as sources of health care coverage for AI/AN women of childbearing age.

Indexed as

Alaska NativesAmerican Indian or Alaska NativeFemaleHumansMedicaidPatient Protection and Affordable Care ActPregnancyPrenatal CareUnited States

Identifiers

PMID38437603
PMCPMC11340263

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.